Hebbian Mind Enterprise

Memory that learns how you think.

Hebbian Mind is a self-organizing neural graph. Concepts that activate together form stronger connections - no

training required. The graph learns your patterns just by being used.

The Problem: Static knowledge graphs require manual curation. Vector databases find similar content but don't learn

relationships. Your AI has no sense of how concepts connect in your context.

The Solution: Hebbian learning - "neurons that fire together, wire together." When you access "PyTorch" and "GPU" in

the same session, that edge strengthens. Over time, the graph becomes a map of how you think, not how some training

set thinks.

How It Works:

• Nodes = concepts, memories, entities

• Edges = relationship strength (0.0 to 1.0)

• Co-activation strengthens edges automatically

• Unused connections decay naturally

• Query one concept, get related concepts ranked by learned weight

Performance:

• Sub-millisecond graph traversal

• 6,500+ learned edges in production use

• SQLite-based - portable, no dependencies

• Standalone mode for always-on learning

What's Included:

• Full source code

• Docker configuration

• MCP server for Claude Desktop

• Dual-write integration examples

• 1 year updates

Requirements: Python 3.10+, Node.js 18+